Evidence map›Paper›PMID 27524396›Full record

ArticleTrials2016

Intra-cluster and inter-period correlation coefficients for cross-sectional cluster randomised controlled trials for type-2 diabetes in UK primary care.

James Martin, Alan Girling, Krishnarajah Nirantharakumar, Ronan Ryan, Tom Marshall, Karla Hemming

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Trials, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06561126 (Engagement of coMmunity Through Participatory Learning and Action for cOntrol and preVEntion of Type II Diabetes and Its Risk Factors [EMPOWER-D]), which is not on this map. Cited by 40 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 1 pooled it
5.2field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT06561126 narecruitingnot on this mapstarted 2025, after this paper: background citation

Engagement of coMmunity Through Participatory Learning and Action for cOntrol and preVEntion of Type II Diabetes and Its Risk Factors [EMPOWER-D]: Cluster Randomized Controlled Trial

TypeinterventionalSponsorKhyber Medical University PeshawarRan2025 to 2026Enrolled12,744ConditionsType II Diabetes Mellitus, Intermediate Hyperglycemia (IHG)ArmsParticipatory, Learning and Action Based Intervention
3 · Its place in the literature

Who cites it

40 citing papers in PubMed, 1 synthesis or guideline pooled it, 60 citations in OpenAlex.

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  6. Evaluation of injury prevention interventions using the stepped wedge cluster randomised trial design: key considerations.Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention · 2026
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  7. Sample size requirements and intra-cluster correlations for stepped wedge cluster randomised trials in intensive care medicine: A practical guide.Critical care and resuscitation : journal of the Australasian Academy of Critical Care Medicine · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

James MartinInstitute of Applied Health Research, University of Birmingham, Birmingham, B15 2TT, UK. jtm939@bham.ac.uk.
Alan GirlingInstitute of Applied Health Research, University of Birmingham, Birmingham, B15 2TT, UK.
Krishnarajah NirantharakumarInstitute of Applied Health Research, University of Birmingham, Birmingham, B15 2TT, UK.
Ronan RyanInstitute of Applied Health Research, University of Birmingham, Birmingham, B15 2TT, UK.
Tom MarshallInstitute of Applied Health Research, University of Birmingham, Birmingham, B15 2TT, UK.
Karla HemmingInstitute of Applied Health Research, University of Birmingham, Birmingham, B15 2TT, UK.
University of Birmingham · GB

Funding

Department of Health WMCLAHRC-2014-1Medical Research Council G0800808
6 · The paper itself

Abstract

backgroundClustered randomised controlled trials (CRCTs) are increasingly common in primary care. Outcomes within the same cluster tend to be correlated with one another. In sample size calculations, estimates of the intra-cluster correlation coefficient (ICC) are needed to allow for this nonindependence. In studies with observations over more than one time period, estimates of the inter-period correlation (IPC) and the within-period correlation (WPC) are also needed.

methodsThis is a retrospective cross-sectional study of all patients aged 18 or over with a diagnosis of type-2 diabetes, from The Health Improvement Network (THIN) database, between 1 October 2007 and 31 March 2010. We report estimates of the ICC, IPC, and WPC for typical outcomes using unadjusted and adjusted generalised linear mixed models with cluster and cluster by period random effects. For binary outcomes we report on the proportions scale, which is the appropriate scale for trial design. Estimated ICCs were compared to those reported from a systematic search of CRCTs undertaken in primary care in the UK in type-2 diabetes.

resultsData from 430 general practices, with a median [IQR] number of diabetics per practice of 241 [150-351], were analysed. The ICC for HbA1c was 0.032 (95 % CI 0.026-0.038). For a two-period (each of 12 months) design, the WPC for HbA1c was 0.035 (95 % CI 0.030-0.040) and the IPC was 0.019 (95 % CI 0.014-0.026). The difference between the WPC and the IPC indicates a decay of correlation over time. Following dichotomisation at 7.5 %, the ICC for HbA1c was 0.026 (95 % CI 0.022-0.030). ICCs for other clinical measurements and clinical outcomes are presented. A systematic search of ICCs used in the design of CRCTs involving type-2 diabetes with HbA1c (undichotomised) as the outcome found that published trials tended to use more conservative ICC values (median 0.047, IQR 0.047-0.050) than those reported here.

conclusionsThese estimates of ICCs, IPCs, and WPCs for a variety of outcomes commonly used in diabetes trials can be useful for the design of CRCTs. In studies with observations taken at different time-points, the correlation of observations may decay over time, as reflected in lower values for the IPC than for the ICC. The IPC and WPC estimates are the first reported for UK primary care data.

Indexed as

AgedBiomarkersCluster AnalysisCross-Sectional StudiesData Interpretation, StatisticalDiabetes Mellitus, Type 2FemaleGlycated HemoglobinHumansLinear ModelsLogistic ModelsMaleMiddle AgedPrimary Health CareRandomized Controlled Trials as TopicRetrospective StudiesBiomarkersGlycated Hemoglobinhemoglobin A1c protein, humanCluster randomised trialInter-period correlation coefficientIntra-cluster correlation coefficientType-2 diabetes

Identifiers

PMID27524396
PMCPMC4983799
OpenAlexW2510670901

What OpenQuestion holds

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LicenceCC BY
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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.